Top AdTech Product Manager Jobs in Los Angeles, CA

The Lead AI Product Engineer will design, build, and operate AI agent systems, focusing on architecture, reliability, and performance while collaborating on user-centric workflows.

Seeking an experienced Product Manager for AI Solutions, overseeing the development and execution of Generative AI products and managing stakeholder engagement.

The Senior Product Manager will lead product strategies for real-time sports data platforms, oversee data pipelines, and enable advanced analytics, collaborating across departments to enhance data accessibility and user experience.

The Product Manager will streamline security integration into Acquia's Cloud Platform, define functional requirements, and enhance customer experiences through AI and automation. Responsibilities include supporting Edge services, simplifying workflows, and collaborating with engineering teams.

The Staff Product Manager, Conversion ML will shape product strategy for Liftoff's machine learning system, Cortex, develop new ideas, conduct experiments, and adapt roadmap based on data.

As a Product Manager at Edmunds, you will lead digital advertising solutions, engage with clients and teams to enhance product offerings, and develop data-driven strategies to optimize client satisfaction and revenue.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

The Product Manager will oversee outcomes product suite, connecting media exposure to business results through data integrations, methodologies, and client reporting while ensuring product scalability and success metrics.

The Production Manager will oversee all aspects of video production, coordinating pre-production, on-set operations, logistics, and post-production, ensuring projects run smoothly and efficiently.

The Senior Product Manager will lead the development of The Trade Desk's infrastructure, focusing on scalability, security, and optimizing complex systems to support high-performance workloads. Responsibilities include modernizing core systems and collaborating with cross-functional teams to enhance product capabilities and performance.